Author:
Kong Lingping,Wang Jing,Guan Shasha,Chen Xiaochen,Li Meiqing,Gao Liming,Zhong Diansheng,Zhang Linlin
Abstract
Abstract
Objective
Opioid-induced nausea and vomiting are frequently observed as an adverse effect in the treatment of cancer-related pain. The factors that affect OINV in cancer patients remain unclear. In this study, we developed a nomogram for predicting the occurrence of OINV in this population using retrospective clinical data.
Methods
We collected data from 416 cancer pain patients, 70% of whom used the training set to analyze demographic and clinical variables. We used multivariate logistic regression to identify significant factors associated with OINV. Then, we construct a prediction nomogram. The validation set comprises the remaining 30%. The reliability of the nomogram is evaluated by bootstrap resampling.
Results
Using multivariate logistic regression, we identified five significant factors associated with OINV. The C-index was 0.835 (95% confidence interval [CI], 0.828–0.842) for the training set and 0.810 (95% CI, 0.793–0.826) for the validation set. The calibrated curves show a good agreement between the predicted and actual occurrence of OINV.
Conclusion
In a retrospective study based on five saliency-found variables, we developed and proved a reliable nomogram model to predict OINV in cancer pain patients. Future prospective studies should assess the model’s reliability and usefulness in clinical practice.
Funder
National Natural Science Foundation of China
Beijing Xisike Clinical Oncology Research Foundation
Publisher
Springer Science and Business Media LLC